Editors:
- Unique approach of modelling methods with artificial neuronal networks
- Practical applications in Ecology and Evolution
- Numerous case studies
Part of the book series: Environmental Science and Engineering (ESE)
Part of the book sub series: Environmental Science (ENVSCIENCE)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (16 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
Artificial Neuronal Networks in Landscape Ecology and Remote Sensing
-
Front Matter
-
-
Artificial Neuronal Networks in Population, Community and Ecosystem Ecology
-
Front Matter
-
-
Artificial Neuronal Networks in Genetics and Evolutionary Ecology
-
Front Matter
-
About this book
Editors and Affiliations
-
C.E.S.A.C., U.M.R. C.N.R.S. 5576 C Bâtiment IVR3, Université Paul Sabatier Toulouse III, Toulouse cedex 04, France
Sovan Lek
-
Centre d’Etudes sur le Polymorphisme des Micro-organismes C.E.P.M/U.M.R C.N.R.S.-I.R.D. 9926, ORSTOM, Montpellier cedex 01, France
Jean-François Guégan
Bibliographic Information
Book Title: Artificial Neuronal Networks
Book Subtitle: Application to Ecology and Evolution
Editors: Sovan Lek, Jean-François Guégan
Series Title: Environmental Science and Engineering
DOI: https://doi.org/10.1007/978-3-642-57030-8
Publisher: Springer Berlin, Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2000
Hardcover ISBN: 978-3-540-66921-0Published: 21 June 2000
Softcover ISBN: 978-3-642-63116-0Published: 21 October 2012
eBook ISBN: 978-3-642-57030-8Published: 06 December 2012
Series ISSN: 1863-5520
Series E-ISSN: 1863-5539
Edition Number: 1
Number of Pages: XXVI, 262
Number of Illustrations: 124 b/w illustrations, 1 illustrations in colour
Topics: Math. Appl. in Environmental Science, Ecology, Artificial Intelligence, Simulation and Modeling